Cited 0 times in Scipus Cited Count

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

Authors
Hripcsak, G | Duke, JD | Shah, NH | Reich, CG | Huser, V | Schuemie, MJ | Suchard, MA | Park, RW  | Wong, IC | Rijnbeek, PR | van der Lei, J | Pratt, N | Norén, GN | Li, YC | Stang, PE | Madigan, D | Ryan, PB
Citation
Studies in health technology and informatics, 216. : 574-578, 2015
Journal Title
Studies in health technology and informatics
ISSN
1879-83650926-9630
Abstract
The vision of creating accessible, reliable clinical evidence by accessing the clincial experience of hundreds of millions of patients across the globe is a reality. Observational Health Data Sciences and Informatics (OHDSI) has built on learnings from the Observational Medical Outcomes Partnership to turn methods research and insights into a suite of applications and exploration tools that move the field closer to the ultimate goal of generating evidence about all aspects of healthcare to serve the needs of patients, clinicians and all other decision-makers around the world.
MeSH

PMID
26262116
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Ajou Authors
박, 래웅
Full Text Link
Files in This Item:
26262116.pdfDownload
Export

qrcode

해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse